In the context of AI, attention refers to the ability of a model to focus on specific parts of the input data while processing it.
Deep learning, a subset of machine learning, is a powerful method for recognizing complex patterns in data using artificial neural networks (ANNs).
Once trained, machine learning algorithms can predict the properties of new antibody candidates, greatly speeding up the drug discovery process.
Generative AI models are a type of artificial intelligence that generate new data that resemble training data by understanding the underlying...
In a Generative Adversarial Network (GAN) a generator creates fake data and a discriminator examines its inputs for authenticity.
Neural networks are a type of computer system inspired by the human brain designed to learn from information in a way similar to how we learn.
As biological research continues to evolve, so does the complexity of the data it generates, necessitating the need for robust support with...
A bioregistry software system is a digital catalog of biological entities such as genes, proteins, cells, and more. These entities are organized and...
Phages are viruses that infect bacteria. Helper phage plays a crucial role in certain laboratory techniques such as phage display.
Genetic libraries serve as valuable tools for understanding gene functions, studying genetic diseases, and developing new drugs.